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Informations about the package liter-llm

Xberg

# liter-llm
Built with alef Rust Python Node.js WASM Java Go C# PHP Ruby Elixir Docker Homebrew C FFI License Docs
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**One API for every LLM — in your language, without the rewrites.** ## What and Why? liter-llm gives you a single, consistent way to call any large language model. Reach 165 providers — OpenAI, Anthropic, Google, Bedrock, and more — through one client, and switch models by changing a name instead of your code. The same client ships to 14 languages, all built on one Rust core, so you get identical behavior everywhere. Need a gateway? Point your existing OpenAI SDK at the built-in, drop-in proxy — no rewrites, no separate service to run. - **Work with any provider without rewrites** — 165 providers behind one API; change the model name to switch, your code stays the same. - **Use it from your language** — Python, TypeScript, Go, Java, Kotlin, C#, Ruby, PHP, Elixir, Dart, Swift, Zig, and WebAssembly, all built on the same Rust core, plus a C/FFI surface for everything else. - **Secure by default** — API keys are wrapped, redacted from logs, and never serialized; cloud auth for Azure, AWS, and Vertex refreshes and rotates for you. - **One small binary** — the client, a drop-in OpenAI-compatible proxy, and an MCP server for AI agents ship in a single 35 MB binary with no interpreter and no dependency tree to compromise. - **Stay up when a provider fails** — route by cost, latency, or weight and fall back automatically, with built-in rate limiting, caching, and cost tracking. Deeper details — observability, middleware, and the full endpoint list — live in the [documentation](https://docs.liter-llm.xberg.io). We credit [litellm](https://github.com/BerriAI/litellm) for proving the category; our provider registry was bootstrapped from theirs. See [ATTRIBUTIONS.md](ATTRIBUTIONS.md). ### Features | Feature | Description | | ------- | ----------- | | **165 providers** | OpenAI, Anthropic, Google, AWS Bedrock, Groq, Mistral, Together, Fireworks, DeepSeek, Cohere, and 130+ more — compiled at build time | | **14 native bindings** | Rust, Python, Node.js, Go, Java, Kotlin, C#, Ruby, PHP, Elixir, Dart, Swift, Zig, WebAssembly — plus a shared C/FFI surface | | **First-class streaming** | SSE and AWS EventStream binary protocol with zero-copy buffers | | **Proxy & MCP server** | Drop-in OpenAI-compatible proxy (22 endpoints) and MCP tool server in a 35 MB Docker image | | **Tower middleware** | Rate limiting, caching (40+ OpenDAL backends), cost tracking, budget enforcement, health checks, and fallback — all composable | | **Observability** | OpenTelemetry with GenAI semantic conventions, cost-tracking spans, and HTTP-level tracing | | **Tool calling** | Parallel tools, structured outputs, and JSON-schema validation | | **Search & OCR** | Web search across 12 providers, document OCR across 4 | | **TOML configuration** | `liter-llm.toml` auto-discovery, custom providers, cache backends, and middleware config | | **Local LLM support** | Ollama, LM Studio, vLLM, llama.cpp, LocalAI, and llamafile via OpenAI-compatible APIs |

⭐ Star this repo to show your support — it helps others discover liter-llm.

## Quick Start ### Language Packages
Python See [Python README](packages/python/README.md) for full documentation.
Node.js See [Node.js README](crates/liter-llm-node/README.md) for full documentation.
Rust See [Rust crate](crates/liter-llm) for full documentation.
Go See [Go README](packages/go/README.md) for full documentation.
Java Available on Maven Central as `io.xberg.literllm:liter-llm`. See [Java README](packages/java/README.md) for the dependency snippet and current version.
Ruby See [Ruby README](packages/ruby/README.md) for full documentation.
PHP See [PHP README](packages/php/README.md) for full documentation.
C# See [.NET README](packages/csharp/README.md) for full documentation.
Elixir Add `{:liter_llm, "~> 1.6"}` to your `mix.exs` dependencies. See [Elixir README](packages/elixir/README.md) for full documentation.
Dart / Flutter See [Dart README](packages/dart/README.md) for full documentation.
Swift Add via Swift Package Manager. See [Swift README](packages/swift/README.md) for full documentation.
Kotlin (Android) Available on Maven Central as `io.xberg.literllm:liter-llm-android`. See [Kotlin README](packages/kotlin-android/README.md) for the dependency snippet and current version.
Zig See [Zig README](packages/zig/README.md) for installation and usage.
WebAssembly See [WebAssembly README](crates/liter-llm-wasm/README.md) for full documentation.
C/C++ (FFI) Build from source as part of this workspace. See [FFI crate](crates/liter-llm-ffi) for full documentation.
CLI, Proxy & MCP Server The `liter-llm` CLI ships both the OpenAI-compatible proxy and the MCP tool server. Install it any of these ways: Then run the proxy or the MCP server: See the [MCP server guide](https://docs.liter-llm.xberg.io/server/mcp-server/) and the [proxy guide](https://docs.liter-llm.xberg.io/server/proxy-server/) for transports, routing, virtual keys, and budgets. To use the MCP server inside a coding agent, install the **liter-llm plugin** (below) — it auto-registers the server, no manual config required.
### AI Coding Assistants Install the liter-llm plugin from the [`xberg-io/plugins`](https://github.com/xberg-io/plugins) marketplace. It ships the liter-llm agent skills (chat, streaming, tools, embeddings across 165 providers) and works with every major coding agent — expand your harness below.
Claude Code
Codex CLI Then search for `liter-llm` and select **Install Plugin**.
Cursor Settings → Plugins → Add from URL → `https://github.com/xberg-io/plugins`, then select **liter-llm**.
Gemini CLI
Factory Droid
GitHub Copilot CLI
opencode Not yet published as an opencode package. Install via any harness above (self-hosted marketplace); opencode support is tracked in [`xberg-io/plugins`](https://github.com/xberg-io/plugins).
## Documentation Full guides, the unified `chat()` API for every binding, multimodal I/O, the proxy/gateway, and the complete provider list live at **[docs.liter-llm.xberg.io](https://docs.liter-llm.xberg.io)**. ## Contributing Contributions are welcome! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines. Join our [Discord community](https://discord.gg/xt9WY3GnKR) for questions and discussion. ## Part of Xberg.io - [Xberg](https://github.com/xberg-io/xberg) — document intelligence: text, tables, metadata from 91+ formats with optional OCR. - [Xberg Enterprise](https://github.com/xberg-io/xberg-enterprise) — managed extraction API with SDKs, dashboards, and observability. - [crawlberg](https://github.com/xberg-io/crawlberg) — web crawling and scraping with HTML→Markdown and headless-Chrome fallback. - [html-to-markdown](https://github.com/xberg-io/html-to-markdown) — fast, lossless HTML→Markdown engine. - [liter-llm](https://github.com/xberg-io/liter-llm) — universal LLM API client with native bindings for 14 languages and 165 providers. - [tree-sitter-language-pack](https://github.com/xberg-io/tree-sitter-language-pack) — tree-sitter grammars and code-intelligence primitives. - [alef](https://github.com/xberg-io/alef) — the polyglot binding generator that produces every per-language binding across the 5 polyglot repos. ## License MIT — see [LICENSE](LICENSE) for details.

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